Data Engineer at MCKESSON

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Be part of the team that is poised to transform the fight against cancer. Backed by the strength of a Fortune 9 company, our entrepreneurial organization develops technologies used by the oncology community to deliver evidence-based, personalized care, as well as insights used by biopharma companies to accelerate drug development and support the entire treatment journey. Our work powers informed decision-making at every pivotal moment in oncology – from the treatment options presented to patients, to the operational considerations for oncology practices, to the design of clinical trials, to the commercial launch plans for new therapies. 

As a Data Engineer at Ontada, you will have the opportunity to make significant contributions to current and future versions of the analytic platform that transforms our customers’ clinical, financial, and operational data into actionable information that enables population health and performance management.

Key Responsibilities

• Advocate for new technologies and participates in architecture decisions.
• Participate in the full lifecycle of product development, from definition, design, implementation, and testing.
• Design, develop, and maintain scalable data pipelines and architectures. 
• Implement data solutions using Azure Cloud services, including Azure Data Lake, Azure SQL Database,
• Utilize Databricks for data processing, transformation, and analytics.
• Leverage Big Data technologies (e.g., Spark) to manage and process large volumes of structured and unstructured data. 
• Ensure data quality, integrity, and security across all data pipelines and storage solutions.
• Implement data quality and governance best practices to ensure data accuracy and integrity.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. 
• Optimize data systems and pipelines for performance and scalability. 
• Document data workflows, processes, and architecture for future reference.
• Develop tools and utilities to maintain high system availability, monitor data quality, and provide statistics.
• Understands and applies HIPAA standards and regulations to all areas of work.
• Expected to cross train team members on areas of technical expertise

Must be authorized to work in the U.S. No sponsorship or relocation is available for this position.

Minimum Requirement

Degree or equivalent and typically requires 4+ years of relevant experience.

Education:

BS or MS in Computer Science, Mathematics or related field

Critical Skills

• 4+ years of professional experience with architecting and developing cloud solutions in Azure
• 4+ years of programming experience in SQL, Python for data processing  
• 3+ years of experience working in big data technologies such as Spark or Hadoop
• Knowledge of data modeling for both data warehousing and Big Data
• Experience with machine learning and data analytics. 
• Familiarity with CI/CD pipelines and DevOps practices.
• Expertise in data structures, algorithms, and complexity analysis
• Experience in engineering large-scale distributed systems in a production environment
• Develop Python, PySpark, Spark scripts to filter/cleanse/map/aggregate data.
• Working knowledge of SQL or other relational databases, and data warehousing principles
• Strong verbal and written communication skills, including the ability to articulate complex technical concepts to non-technical stakeholders
• Ability to work gracefully and effectively in high-pressure situations
• Knowledge of healthcare IT systems and workflows
• Experience with Visualization tool like tableau or PowerBI is plus

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!

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